英文:
How to get coordinates of YOLOv8 object detection model?
问题
我有一个在自定义数据上训练的YOLOv8目标检测模型。它以图像作为输入，并标注不同的对象。我的问题是如何获取不同对象的坐标？我想要这些坐标数据以进一步裁剪图像。
如果检测到的对象是人，我想要获取其坐标，同样适用于猫和狗。
提前感谢您的帮助。
我的代码看起来像这样：
infer = YOLO('path_to_trained_model.pt')
image_path = 'image'
results = infer(image_path)
class_name = "Person"
confidence_threshold = 0.5
for r in results:
r.boxes.xyxy # 我也遇到了这个错误：'list' object has no attribute 'xyxy'
我知道我缺少了很多数据，因为我不知道它是如何工作的。
英文:
I have a YOLOv8 object detection model trained on custom. It takes image as input and annotates the different objects my question is How do I get coordinates of different objects? I want these coordinate data to further crop the images.
If the object detected is a person I want coordinates of that same for cat and dog.
Thanks for help in advance.
My code looks something like this
infer = YOLO(r'path_to_trained_model.pt')
image_path = r'image'
results = infer(image_path)
class_name = "Person"
confidence_threshold = 0.5
for r in results:
r.boxes.xyxy ## I was also getting this error 'list' object has no attribute 'xyxy'
I know I am missing quite a bit of data here since I have no idea how it works.
答案1
得分: 0
你可以像这样引用预测框的坐标：
results = model(image_path)
boxes = results[0].boxes
for box in boxes:
print(box.xyxy)
更多信息在这里：https://docs.ultralytics.com/modes/predict/#working-with-results
box.xyxy # 框的坐标（张量）
box.cls.item() # 类别标识
box.conf.item() # 置信度值
英文:
You can refer to the predicted box coordinates like this:
results = model(image_path)
boxes = results[0].boxes
for box in boxes:
print(box.xyxy)
More information is here: https://docs.ultralytics.com/modes/predict/#working-with-results
box.xyxy # box coordinates (tensor)
box.cls.item() # class id
box.conf.item() # confidence value
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